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Our results were supported by sequence analysis of the 3' UTR regions of predicted target genes, and we found that the previously reported conclusion that a large fraction of the proteome is regulated by microRNAs was not supported by our statistical analysis of the data.
This was proved by our statistical analysis.
This was not always confirmed by our statistical analysis.
Motivated by our statistical analysis, we constructed a model of ERK-MAPK interactions using normalized-Hill differential equations [ 42, 43].
We also examined one of the transposon locations that was likely to be a false significant as it has been suggested by our statistical analysis.
This can be a reflection of overall reduced levels of TGF- β in the disease state as supported by our statistical analysis.
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We used STATA 10.0 by StatCorp for our statistical analysis.
For each gene, we looked for correlation between the average gene expression value for each of the five strains and the strain coefficients from the strain-by-gene interaction term in our statistical analysis.
The clustering at the GP was accounted for in our statistical analysis by survey/panel data methods and additionally by multilevel data analysis.
We completed our statistical analysis by examining the same statistical differences at the individual level.
We therefore increased the stringency of our statistical analysis by applying a correction parameter, termed "Allele Frequency Reduction" (AF-reduction).
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by our statistical design
by our molecular analysis
by our statistical approach
by our morphological analysis
by our spatial analysis
by our evolutionary analysis
by our statistical model
by our detailed analysis
by our empirical analysis
by our statistical software
by our statistical filtration
by our statistical subtraction
by our structural analysis
by our SplitsTree analysis
by our recent analysis
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